The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 18, 2022

Filed:

Jan. 03, 2019
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Eyasu Zemene Mequanint, San Diego, CA (US);

Shuai Zhang, San Diego, CA (US);

Yingyong Qi, San Diego, CA (US);

Ning Bi, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); A61B 5/11 (2006.01); G06F 21/32 (2013.01); G08B 21/18 (2006.01); A61B 5/1171 (2016.01);
U.S. Cl.
CPC ...
G06K 9/0061 (2013.01); A61B 5/1103 (2013.01); A61B 5/1128 (2013.01); A61B 5/1176 (2013.01); G06F 21/32 (2013.01); G06K 9/00604 (2013.01); G06K 9/00845 (2013.01); G06T 7/00 (2013.01); G08B 21/182 (2013.01);
Abstract

Methods, systems, and devices for personalized (e.g., user specific) eye openness estimation are described. A network model (e.g., a convolutional neural network) may be trained using a set of synthetic eye openness image data (e.g., synthetic face images with known degrees or percentages of eye openness) and a set of real eye openness image data (e.g., facial images of real persons that are annotated as either open eyed or closed eyed). A device may estimate, using the network model, a multi-stage eye openness level (e.g., a percentage or degree to which an eye is open) of a user based on captured real time eye openness image data. The degree of eye openness estimated by the network model may then be compared to an eye size of the user (e.g., a user specific maximum eye size), and a user specific eye openness level may be estimated based on the comparison.


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